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New Tool For Establishing Comprehensive Deep Energy Efficiency Retrofit Programs For The Multi-Tenant Light Commercial Building Sector

2016

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Highly Accurate Prediction of NMR Chemical Shifts from Low-Level Quantum Mechanics Calculations Using Machine Learning.
CLEAN ENERGY REVOLVING LOAN FUNDS: INTERNATIONAL EXPERIENCE
Convergence of variational Monte Carlo simulation and scale-invariant pre-training
Hybrid Machine Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation.
Nickel-catalysed anti-Markovnikov hydroarylation of unactivated alkenes with unactivated arenes facilitated by non-covalent interactions.